AutoBe Blog
Release notes, engineering deep dives, and practical articles about AutoBE, backend generation, AI agents, and vibe coding.
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Benchmarks on Local LLMs about Backend Generation, Monthly
AutoBe's first proper benchmark for backend generation — controlled variables, a six-axis weighted rubric, multi-dimensional precision. The function calling harness has effectively closed the gap between frontier and local models. From next month, expensive frontier models drop out and only small, cheap models compete. Frontend automation joins the leaderboard in two or three months.
Function Calling Harness 2 - CoT Compliance from 9.91% to 100%
Prompt is a request. Schema is enforcement. How a function calling harness turns requested reasoning into auditable procedural compliance.
Qwen 3.5-27B Just Built Complete Backends from Scratch — 100% Compilation, 25x Cheaper
Qwen 3.5-27B generated complete backends with 100% compilation at 1/25th the cost of Claude Opus 4.6 — and the output quality is nearly identical. The benchmark proves it.
AutoBE vs. Claude Code: 3rd-gen coding agent developer's review of the leaked source code
We learned a great deal from the leaked Claude Code source code. What separates a 2nd-generation agent (Claude Code) from a 3rd-generation one (AutoBE), and where do they converge—this is a story of coexistence, not replacement.
Function Calling Harness: From 6.75% to 100%
6.75% first-try function calling success becomes 100% compilation via type schemas, compilers, and structured feedback. Dissecting the harness engineering behind AutoBe and Typia.
![[AutoBe] We Built an AI That Writes Full Backend Apps — Then Broke Its 100% Success Rate on Purpose](https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fttv46fap8j4z8wt0nr6l.png)
[AutoBe] We Built an AI That Writes Full Backend Apps — Then Broke Its 100% Success Rate on Purpose
How we rebuilt AutoBE from a one-shot prototype builder to a modular development platform, recovering from 40% to near-100% compilation success through RAG optimization, weak-model testing, and type-driven validation.
![[AutoBe] Achieved 100% compilation success of backend generation with "qwen3-next-80b-a3b"](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qf913tsmiqf1lb73oes.png)
[AutoBe] Achieved 100% compilation success of backend generation with "qwen3-next-80b-a3b"
AutoBE achieved 100% compilation success for backend applications using local AI models like qwen3-next-80b-a3b — a marked improvement from earlier attempts where most projects failed to build.
![[AutoBe] Hardcore function calling benchmark in backend coding agent](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhozni1jenah5fce3azxg.png)
[AutoBe] Hardcore function calling benchmark in backend coding agent
AutoBE leverages LLM function calling throughout every phase rather than relying on plain text generation, including compiler AST structures with infinite depths — establishing the most extreme function calling benchmark ever.
![[AutoBe] Built full-level backend applications with "qwen-next-80b-a3b" model](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr6ng0xk83z8km80m1335.png)
[AutoBe] Built full-level backend applications with "qwen-next-80b-a3b" model
The AutoBE team has successfully tested the qwen3-next-80b-a3b-instruct model to generate three complete backend applications: To Do List, Reddit Community, and Economic Discussion Board.
Succeeded to build full-level backend application with "qwen3-235b-a22b" in AutoBE
AutoBE successfully generated a complete backend application without compilation errors using qwen3-235b-a22b model, consisting of 10 API functions and 37 DTO schemas.
![[AutoBe] Qwen3-80B suddenly wrote doomsday AI mythology while generating a TODO app](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fvns7e0plyyjq26e0aa5t.png)
[AutoBe] Qwen3-80B suddenly wrote doomsday AI mythology while generating a TODO app
During testing, the Qwen3-80B model unexpectedly generated approximately 3,000+ words of apocalyptic poetry instead of documentation while building a simple TODO application.
Built Reddit like community with AutoBe and AutoView (gpt-4.1-mini and qwen3-235b-a22b)
AutoBE demonstrated the ability to generate increasingly sophisticated backend applications beyond basic todo implementations using open-source and commercial AI models.
![[AutoBE Hackathon] AI Chatbot generating Backend Application with AI Compilers ($6,400 Prize Pool)](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fztuj1ug6ctayadf2cruq.png)
[AutoBE Hackathon] AI Chatbot generating Backend Application with AI Compilers ($6,400 Prize Pool)
Wrtn Technologies hosts the 1st AutoBE Hackathon — a coding competition focused on evaluating AI-generated backend applications with $6,400 in prizes.
![[AutoBE] We made AI-friendly Compilers for Vibe Coding, achieving 100% build success](https://media2.dev.to/dynamic/image/width=1080,height=1080,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fasf8mq5d56566b31szom.png)
[AutoBE] We made AI-friendly Compilers for Vibe Coding, achieving 100% build success
AutoBE employs a five-phase waterfall model with dedicated agents and specialized compilers — a Prisma compiler, OpenAPI validator, and TypeScript compiler — ensuring sequential quality assurance and 100% build success.
AutoBE, Backend No-Coding Agent Achieving 100% Compilation Success (Open Source)
AutoBE represents a revolutionary advancement in AI-assisted backend development. Rather than generating potentially flawed code snippets, AutoBE produces 100% working, production-ready backend applications through a compiler-driven approach.